UNER: Universal Named-Entity Recognition Framework (CROSBI ID 691253)
Prilog sa skupa u zborniku | kratko priopćenje | međunarodna recenzija
Podaci o odgovornosti
Alves, Diego ; Kuculo, Tin ; Amaral, Gabriel ; Thakkar, Gaurish ; Tadić, Marko
engleski
UNER: Universal Named-Entity Recognition Framework
WeintroducetheUniversalNamed- EntityRecognition(UNER) framework, a 4-level classification hierarchy, and the methodology that is being adopted to create the first multilingual UNER corpus: the SETimes parallel corpus annotated for named-entities. First, the English SETimes corpus will be annotated using existing tools and knowledge bases. After evaluating the resulting annotations through crowdsourcing campaigns, they will be propagated automatically to other languages within the SE- Times corpora. Finally, as an extrinsic evaluation, the UNER multilin- gual dataset will be used to train and test available NER tools. As part of future research directions, we aim to increase the number of languages in the UNER corpus and to investigate possible ways of integrating UNER with available knowledge graphs to improve named- entity recognition.
named-entity ; universality ; low-resourced languages
Uslijed pandemije krunastoga virusa radionica je održana online 2020-06-03, a zbornik je objavljen istoga dana.
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
72-79.
2020.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 1st International Workshop on Cross-lingual Event-centric Open Analytics
Demidova, Elena ; Hakimov, Sherzod ; Winters, Jane ; Tadić, Marko
Heraklion:
1613-0073
Podaci o skupu
17th Extended Semantic Web Conference (ESWC 2020)
predavanje
02.06.2020-04.06.2020
Heraklion, Grčka